- Title
- Extended HP model for protein structure prediction
- Creator
- Hoque, Md Tamjidul; Chetty, Madhu; Sattar, Abdul
- Date
- 2009
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/67846
- Identifier
- vital:5949
- Identifier
- ISSN:1545-5963
- Abstract
- This paper presents the impact of twins and the measures for their removal from the population of genetic algorithm (GA) when applied to effective conformational searching. It is conclusively shown that a twin removal strategy for a GA provides considerably enhanced performance when investigating solutions to complex ab initio protein structure prediction (PSP) problems in low-resolution model. Without twin removal, GA crossover and mutation operations can become ineffectual as generations lose their ability to produce significant differences, which can lead to the solution stalling. The paper relaxes the definition of chromosomal twins in the removal strategy to not only encompass identical, but also highly correlated chromosomes within the GA population, with empirical results consistently exhibiting significant improvements solving PSP problems.
- Relation
- Computational Biology and Bioinformatics Vol. Jan-Feb 2011, no. (2009 ), p. 234-245
- Rights
- Copyright IEEE
- Rights
- This metadata is freely available under a CCO license
- Subject
- 01 Mathematical Sciences; 06 Biological Sciences; 08 Information and Computing Sciences
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